Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Mathis-Mo/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Mathis-Mo/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Mathis-Mo/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from Mathis-Mo/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 167 Bytes
-
https://huggingface.co/Mathis-Mo/a2c-PandaReachDense-v3/resolve/main/results.json
- Command line
-
hf download hf://Mathis-Mo/a2c-PandaReachDense-v3/results.json
-
curl -L -o results.json https://huggingface.co/Mathis-Mo/a2c-PandaReachDense-v3/resolve/main/results.json
167 Bytes
| {"mean_reward": -0.1949874259531498, "std_reward": 0.09626074592079642, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-09-23T21:12:02.103283"} |